IEEE

Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation

Abstract: This paper explores the Class-Incremental Source-Free Unsupervised Domain Adaptation (CI-SFUDA) problem, where the unlabeled target data come incrementally without access to labeled source ...
IEEE

A Robust Hybrid CNN+ViT Framework for Breast Cancer Classification Using Mammogram Images

Abstract: Breast cancer is the most frequent type of cancer largely experienced by women currently, although it could happen to men also. It appears when abnormal breast tissue cells grow rapidly and ...
IEEE

Non-Orthogonal Multiple Access Based Multi-Objective Optimization in Emergency Task Offloading

Abstract: The escalating frequency of geological disasters, local conflicts, and public health crises necessitates robust emergency communication systems within Internet of Things (IoT) frameworks to ...
IEEE

Dynamic SRM Curriculum for Trustworthy Multi-modal Classification

Abstract: Trustworthy multi-modal learning integrates multiple sources of data reliably. However, the current methods still focus on performance improvement by developing deep multi-modal networks.
IEEE

Blood Test Report-Based Prediction and Classification of Diseases Using Artificial Neural Networks

Abstract: Through early intervention and individualized treatment plans, timely disease detection and personalized healthcare can advance patient results and reduce healthcare costs. With the aim to ...
KTVZ

Nine people suffer life-threatening injuries in UK after train stabbing attack

(CNN) — Nine people suffered life-threatening injuries on Saturday night after a stabbing attack on a train in central England that Prime Minister Keir Starmer described as “deeply concerning.” Two ...
IEEE

Multi-class classification algorithm for ocular diseases classification based GLCM texture features

Abstract: Ocular diseases cover a broad spectrum of conditions impacting eye health and functions, potentially resulting in vision impairment or blindness. Common eye diseases include cataracts, ...
IEEE

Optimized CNN Architecture based on Mutant Particle Swarm Optimization and Opposition Based Learning for Image Classification

Abstract: Recent improvements in Convolution Neural Networks (CNN) have demonstrated extraordinary performance in solving real-world problems. However, the performance of CNN depends purely on its ...
IEEE

Hybrid CNN-LSTM Networks for Enhanced Lung Cancer Detection and Classification from CT Images

Abstract: In this paper, a hybrid deep learning model based on Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks are introduced for the automated detection of lung cancer ...
IEEE

Classification of Music Genres based on Machine Learning SVM and CNN

Abstract: This study aims to compare the performance of two classification methods—Support Vector Machine (SVM) and Convolutional Neural Network (CNN)—in identifying music genres based on audio data ...
CNN

US Navy’s ‘most lethal combat platform,’ the carrier USS Gerald R Ford, is being sent to the Caribbean

The aircraft carrier USS Gerald R Ford, billed by the US Navy as “the most capable, adaptable, and lethal combat platform in the world,” is being sent to the Caribbean as the Trump administration ...
IEEE

Deep Active Learning for Image Hierarchical Classification by Introducing Dependencies and Constraints Between Classes

Abstract: Deep active learning (DeepAL) extends supervised deep learning to human-machine interactive scenarios with limited annotation budgets. Most existing DeepAL approaches for visual recognition ...